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Saito Yutaka  齋藤 裕

ORCIDConnect your ORCID iD *help
Researcher Number 60721496
Other IDs
Affiliation (Current) 2025: 北里大学, 未来工学部, 教授
2025: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員
Affiliation (based on the past Project Information) *help 2024: 北里大学, 未来工学部, 教授
2019 – 2023: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員
2017 – 2018: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員
2016: 国立研究開発法人産業技術総合研究所, 人工知能研究センター, 研究員
2015: 国立研究開発法人産業技術総合研究所, 創薬基盤研究部門, 研究員
Review Section/Research Field
Principal Investigator
Basic Section 62010:Life, health and medical informatics-related / Life / Health / Medical informatics
Except Principal Investigator
Transformative Research Areas, Section (II) / Medium-sized Section 62:Applied informatics and related fields / Medium-sized Section 27:Chemical engineering and related fields / Basic Section 43010:Molecular biology-related / Basic Section 39050:Insect science-related / Science and Engineering
Keywords
Principal Investigator
バイオインフォマティクス / 機械学習 / エピゲノム / 生体分子設計 / 分子シミュレーション / 指向性進化 / タンパク質工学 / 微生物 / PacBio / DNAメチル化 … More / 共局在遺伝子 / 3C / HiC / ゲノム3次元構造 / HiC/3C / ゲノム3D構造 … More
Except Principal Investigator
機械学習 / DNAメチル化 / バーチャルスクリーニング / マルチオミックス / 深層学習 / 化合物アレイ / 生成AI / 化合物潜在空間 / シュードウイルス / カロリメトリー / スパイク蛋白質 / 進化予測 / 分子動力学シミュレーション / 新型コロナウイルス / 抗体 / タンパク質 / 進化分子工学 / エピジェネティクス / 神経細胞 / DNMT1 / クロマチン修飾 / 制御機構 / エピジェネティック / 受容体 / 幼若ホルモン / 寿命 / ミツバチ / 相互作用 / 化合物フィンガープリント / 人工知能 / ケミカルスペース Less
  • Research Projects

    (9 results)
  • Research Products

    (158 results)
  • Co-Researchers

    (24 People)
  •  Construction of chemical latent space using deep learning and design of artificial molecular structures

    • Principal Investigator
      榊原 康文
    • Project Period (FY)
      2023 – 2027
    • Research Category
      Grant-in-Aid for Transformative Research Areas (A)
    • Review Section
      Transformative Research Areas, Section (II)
    • Research Institution
      Keio University
  •  Predicting corona virus evolution by combining molecular dynamics simulation and machine learning.

    • Principal Investigator
      亀田 倫史
    • Project Period (FY)
      2022 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 62:Applied informatics and related fields
    • Research Institution
      National Institute of Advanced Industrial Science and Technology
  •  タンパク質の機能改良のための「省データ」機械学習技術の開発Principal Investigator

    • Principal Investigator
      齋藤 裕
    • Project Period (FY)
      2022 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 62010:Life, health and medical informatics-related
    • Research Institution
      Kitasato University
      National Institute of Advanced Industrial Science and Technology
  •  Evolutionary Molecular Engineering Guided by Machine Learning: Smart Maturation Process for Cancer Therapeutic Antibodies

    • Principal Investigator
      Umetsu Mitsuo
    • Project Period (FY)
      2020 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 27:Chemical engineering and related fields
    • Research Institution
      Tohoku University
  •  Investigation of epigenetic mechanism underlying longevity in honeybee.

    • Principal Investigator
      Kamakura Masaki
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 39050:Insect science-related
    • Research Institution
      Toyama Prefectural University
  •  Functional elucidation of maintenance DNA methyltransferase DNMT1 in neurons

    • Principal Investigator
      Namihira Masakazu
    • Project Period (FY)
      2019 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 43010:Molecular biology-related
    • Research Institution
      National Institute of Advanced Industrial Science and Technology
  •  Bioinformatics methods for PacBio methylation data towards microbial differential epigenome analysisPrincipal Investigator

    • Principal Investigator
      Saito Yutaka
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 62010:Life, health and medical informatics-related
    • Research Institution
      National Institute of Advanced Industrial Science and Technology
  •  Deep analysis of chemical communication space using artificial intelligence technology

    • Principal Investigator
      Sakakibara Yasubumi
    • Project Period (FY)
      2017 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Science and Engineering
    • Research Institution
      Keio University
  •  Finding 3D co-localization of genomic elements from HiC dataPrincipal Investigator

    • Principal Investigator
      Saito Yutaka
    • Project Period (FY)
      2015 – 2016
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Life / Health / Medical informatics
    • Research Institution
      National Institute of Advanced Industrial Science and Technology

All 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015

All Journal Article Presentation Book

  • [Book] 少ない実験データとベイズ最適化による機能タンパク質の配列設計. ケモインフォマティクスにおけるデータ収集の最適化と解析手法2023

    • Author(s)
      梅津 光央, 齋藤 裕, 亀田 倫史, 津田 宏治
    • Total Pages
      657
    • Publisher
      技術情報協会
    • Data Source
      KAKENHI-PLANNED-23H04885
  • [Book] 情報解析に基づく遺伝子配列改変による発現量調節. スマートセルインダストリー -微生物細胞を用いた物質生産の展望-.2018

    • Author(s)
      亀田 倫史, 齋藤 裕, 田島 直幸, 西宮 佳志, 玉野 孝一, 北川 航, 安武 義晃, 田村 具博.
    • Total Pages
      240
    • Publisher
      シーエムシー出版
    • ISBN
      9784781313344
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Book] Comparative Epigenomics. Encyclopedia of Bioinformatics and Computational Biology.2018

    • Author(s)
      Yutaka Saito.
    • Total Pages
      3284
    • Publisher
      Elsevier
    • ISBN
      9780128114148
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Journal Article] Protein-compound interaction prediction using microbial chemical communication network2024

    • Author(s)
      Hongyi Shen, Yutaka Saito
    • Journal Title

      IPSJ Transactions on Bioinformatics

      Volume: in press

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-23H04885
  • [Journal Article] Extensive antibody search with whole spectrum black-box optimization2024

    • Author(s)
      Tucs Andrejs、Ito Tomoyuki、Kurumida Yoichi、Kawada Sakiya、Nakazawa Hikaru、Saito Yutaka、Umetsu Mitsuo、Tsuda Koji
    • Journal Title

      Scientific Reports

      Volume: 14 Issue: 1 Pages: 552-552

    • DOI

      10.1038/s41598-023-51095-z

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-23H04885, KAKENHI-PROJECT-23K24946
  • [Journal Article] VeloPro: A pipeline integrating Ribo‐seq and AlphaFold deciphers association patterns between translation velocity and protein structure features2023

    • Author(s)
      Bian Bian、Kumagai Toshitaka、Saito Yutaka
    • Journal Title

      iMeta

      Volume: 2 Issue: 4

    • DOI

      10.1002/imt2.148

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Journal Article] Protein language models2023

    • Author(s)
      山口 秀輝、齋藤 裕
    • Journal Title

      JSBi Bioinformatics Review

      Volume: 4 Issue: 1 Pages: 52-67

    • DOI

      10.11234/jsbibr.2023.1

    • ISSN
      2435-7022
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Journal Article] Selection of target-binding proteins from the information of weakly enriched phage display libraries by deep sequencing and machine learning2023

    • Author(s)
      Ito Tomoyuki、Nguyen Thuy Duong、Saito Yutaka、Kurumida Yoichi、Nakazawa Hikaru、Kawada Sakiya、Nishi Hafumi、Tsuda Koji、Kameda Tomoshi、Umetsu Mitsuo
    • Journal Title

      mAbs

      Volume: 15 Issue: 1

    • DOI

      10.1080/19420862.2023.2168470

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Journal Article] A Multiomics Atlas of Brown Adipose Tissue Development Over Time2023

    • Author(s)
      Kumagai Yutaro、Saito Yutaka、Kida Yasuyuki S
    • Journal Title

      Endocrinology

      Volume: 164 Issue: 6

    • DOI

      10.1210/endocr/bqad064

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PUBLICLY-23H04486, KAKENHI-PROJECT-23K24946
  • [Journal Article] Engineering the Substrate Specificity of Toluene Degrading Enzyme XylM Using Biosensor XylS and Machine Learning2023

    • Author(s)
      Ogawa Yuki、Saito Yutaka、Yamaguchi Hideki、Katsuyama Yohei、Ohnishi Yasuo
    • Journal Title

      ACS Synthetic Biology

      Volume: 12 Issue: 2 Pages: 572-582

    • DOI

      10.1021/acssynbio.2c00577

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Journal Article] 深層学習によるタンパク質の機能予測と設計2022

    • Author(s)
      齋藤 裕
    • Journal Title

      Seibutsu-kogaku Kaishi

      Volume: 100 Issue: 11 Pages: 589-592

    • DOI

      10.34565/seibutsukogaku.100.11_589

    • ISSN
      0919-3758, 2435-8630
    • Year and Date
      2022-11-25
    • Language
      Japanese
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22H00553, KAKENHI-PROJECT-23K24946
  • [Journal Article] AI and computational chemistry-accelerated development of an alotaketal analogue with conventional PKC selectivity2022

    • Author(s)
      Maki Jumpei、Oshimura Asami、Tsukano Chihiro、Yanagita Ryo C、Saito Yutaka、Sakakibara Yasubumi、Irie Kazuhiro
    • Journal Title

      Chemical Communications

      Volume: 58 Issue: 47 Pages: 6693-6696

    • DOI

      10.1039/d2cc01759h

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-17H06405, KAKENHI-PROJECT-23K24946
  • [Journal Article] EvoOpt: an MSA-guided, fully unsupervised sequence optimization pipeline for protein design2022

    • Author(s)
      Hideki Yamaguchi, Yutaka Saito
    • Journal Title

      Machine Learning in Structural Biology Workshop, The 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

      Volume: -

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Journal Article] Machine learning approach for discrimination of genotypes based on bright-field cellular images2021

    • Author(s)
      Suzuki Godai、Saito Yutaka、Seki Motoaki、Evans-Yamamoto Daniel、Negishi Mikiko、Kakoi Kentaro、Kawai Hiroki、Landry Christian R.、Yachie Nozomu、Mitsuyama Toutai
    • Journal Title

      npj Systems Biology and Applications

      Volume: 7 Issue: 1 Pages: 1-8

    • DOI

      10.1038/s41540-021-00190-w

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409, KAKENHI-PLANNED-17H06410, KAKENHI-PROJECT-19K06502, KAKENHI-PROJECT-21K07934
  • [Journal Article] Rational thermostabilisation of four-helix bundle dimeric de novo proteins2021

    • Author(s)
      Irumagawa Shin、Kobayashi Kaito、Saito Yutaka、Miyata Takeshi、Umetsu Mitsuo、Kameda Tomoshi、Arai Ryoichi
    • Journal Title

      Scientific Reports

      Volume: 11 Issue: 1 Pages: 7526-7526

    • DOI

      10.1038/s41598-021-86952-2

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20409, KAKENHI-PLANNED-17H06410, KAKENHI-PROJECT-17KK0104, KAKENHI-PROJECT-19H02522
  • [Journal Article] Machine-Learning-Guided Library Design Cycle for Directed Evolution of Enzymes: The Effects of Training Data Composition on Sequence Space Exploration2021

    • Author(s)
      Saito Yutaka、Oikawa Misaki、Sato Takumi、Nakazawa Hikaru、Ito Tomoyuki、Kameda Tomoshi、Tsuda Koji、Umetsu Mitsuo
    • Journal Title

      ACS Catalysis

      Volume: 11 Issue: 23 Pages: 14615-14624

    • DOI

      10.1021/acscatal.1c03753

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K20409, KAKENHI-PLANNED-17H06410
  • [Journal Article] Comparative analysis of the relationship between translation efficiency and sequence features of endogenous proteins in multiple organisms2021

    • Author(s)
      Tajima Naoyuki、Kumagai Toshitaka、Saito Yutaka、Kameda Tomoshi
    • Journal Title

      Genomics

      Volume: 113 Issue: 4 Pages: 2675-2682

    • DOI

      10.1016/j.ygeno.2021.05.037

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K20409, KAKENHI-PLANNED-17H06410
  • [Journal Article] ゲノムは遺伝子を単語とする文章である(か?)2021

    • Author(s)
      齋藤 裕
    • Journal Title

      バイオサイエンスとインダストリー

      Volume: 79 Pages: 49-49

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Journal Article] Evotuning protocols for Transformer-based variant effect prediction on multi-domain proteins2021

    • Author(s)
      Yamaguchi Hideki、Saito Yutaka
    • Journal Title

      bioRxiv

      Volume: - Pages: 434175-434175

    • DOI

      10.1101/2021.03.05.434175

    • Open Access
    • Data Source
      KAKENHI-PROJECT-19K06502
  • [Journal Article] Machine-learning-guided Protein Design2021

    • Author(s)
      UMETSU Mitsuo、SAITO Yutaka、KAMEDA Tomoshi、TSUDA Koji
    • Journal Title

      Seibutsu Butsuri

      Volume: 61 Issue: 3 Pages: 177-179

    • DOI

      10.2142/biophys.61.177

    • NAID

      130008045202

    • ISSN
      0582-4052, 1347-4219
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Journal Article] Adipose-derived mesenchymal stem cells differentiate into heterogeneous cancer-associated fibroblasts in a stroma-rich xenograft model2021

    • Author(s)
      Miyazaki Yoshihiro、Oda Tatsuya、Inagaki Yuki、Kushige Hiroko、Saito Yutaka、Mori Nobuhito、Takayama Yuzo、Kumagai Yutaro、Mitsuyama Toutai、Kida Yasuyuki S.
    • Journal Title

      Scientific Reports

      Volume: 11 Issue: 1 Pages: 4690-4690

    • DOI

      10.1038/s41598-021-84058-3

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20409, KAKENHI-PROJECT-18KT0070
  • [Journal Article] Evotuning protocols for Transformer-based variant effect prediction on multi-domain proteins2021

    • Author(s)
      Yamaguchi Hideki、Saito Yutaka
    • Journal Title

      Briefings in Bioinformatics

      Volume: 22 Issue: 6

    • DOI

      10.1093/bib/bbab234

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20409, KAKENHI-PLANNED-17H06410
  • [Journal Article] 放線菌におけるタンパク質生産量向上のための新規コドン最適化技術.2020

    • Author(s)
      齋藤 裕, 北川 航, 亀田 倫史.
    • Journal Title

      バイオサイエンスとインダストリー

      Volume: 78 Pages: 412-413

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Journal Article] CodonAdjust: a software for in silico design of a mutagenesis library with specific amino acid profiles2020

    • Author(s)
      Nguyen Thuy Duong、Saito Yutaka、Kameda Tomoshi
    • Journal Title

      Protein Engineering, Design and Selection

      Volume: 32 Issue: 11 Pages: 503-511

    • DOI

      10.1093/protein/gzaa013

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Journal Article] Existence and possible roles of independent non-CpG methylation in the mammalian brain2020

    • Author(s)
      Lee Jong-Hun、Saito Yutaka、Park Sung-Joon、Nakai Kenta
    • Journal Title

      DNA Research

      Volume: 27 Issue: 4

    • DOI

      10.1093/dnares/dsaa020

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K06502, KAKENHI-PROJECT-20K06606, KAKENHI-PROJECT-19K20409, KAKENHI-PLANNED-17H06410
  • [Journal Article] Improving biomolecular functions with machine learning2020

    • Author(s)
      齋藤 裕
    • Journal Title

      JSBi Bioinformatics Review

      Volume: 1 Issue: 1 Pages: 12-17

    • DOI

      10.11234/jsbibr.2020.2

    • NAID

      130007923103

    • ISSN
      2435-7022
    • Year and Date
      2020-09-30
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Journal Article] Predicting antibody affinity changes upon mutations by combining multiple predictors2020

    • Author(s)
      Kurumida Yoichi、Saito Yutaka、Kameda Tomoshi
    • Journal Title

      Scientific Reports

      Volume: 10 Issue: 1 Pages: 19533-19533

    • DOI

      10.1038/s41598-020-76369-8

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K06502, KAKENHI-PROJECT-19K20409, KAKENHI-PLANNED-17H06410
  • [Journal Article] 機械学習支援による蛋白質高機能化2019

    • Author(s)
      亀田 倫史, 齋藤 裕, 及川 未早来, 梅津 光央, 津田宏治.
    • Journal Title

      分子シミュレーション研究会誌「アンサンブル」

      Volume: 21

    • NAID

      130007792888

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Journal Article] Developing a codon optimization method for improved expression of recombinant proteins in actinobacteria2019

    • Author(s)
      Saito Yutaka、Kitagawa Wataru、Kumagai Toshitaka、Tajima Naoyuki、Nishimiya Yoshiyuki、Tamano Koichi、Yasutake Yoshiaki、Tamura Tomohiro、Kameda Tomoshi
    • Journal Title

      Scientific Reports

      Volume: 9 Issue: 1 Pages: 8338-8338

    • DOI

      10.1038/s41598-019-44500-z

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20409, KAKENHI-PLANNED-17H06410
  • [Journal Article] 機械学習が道先案内するタンパク質の進化分子工学.2019

    • Author(s)
      梅津 光央, 齋藤 裕, 亀田 倫史, 津田 宏治.
    • Journal Title

      BIO INDUSTRY

      Volume: 36 Pages: 55-63

    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Journal Article] Comprehensive epigenome characterization reveals diverse transcriptional regulation across human vascular endothelial cells2019

    • Author(s)
      Nakato R, Wada Y, Nakaki R, Nagae G, Katou Y, Tsutsumi S, Nakajima N, Fukuhara H, Iguchi A, Kohro T, Kanki Y, Saito Y, Kobayashi M, Izumi-Taguchi A, Osato N, Tatsuno K, Kamio A, Hayashi-Takanaka Y, Wada H, Ohta S, Aikawa M, Nakajima H, Nakamura M, McGee RC, Heppner KW, Kawakatsu T, Genno M, Yanase H, Kume H, et al.
    • Journal Title

      Epigenetics & Chromatin

      Volume: 12 Issue: 1 Pages: 77-77

    • DOI

      10.1186/s13072-019-0319-0

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00387, KAKENHI-PROJECT-18K07963, KAKENHI-PROJECT-19K20409, KAKENHI-ORGANIZER-15H05970, KAKENHI-PLANNED-15H05976, KAKENHI-PLANNED-17H06331, KAKENHI-PLANNED-17H06410, KAKENHI-PLANNED-18H05527, KAKENHI-PLANNED-19H05744, KAKENHI-PROJECT-17H03614, KAKENHI-INTERNATIONAL-15K21761
  • [Journal Article] Convolutional neural network based on SMILES representation of compounds for detecting chemical motif2018

    • Author(s)
      Hirohara Maya、Saito Yutaka、Koda Yuki、Sato Kengo、Sakakibara Yasubumi
    • Journal Title

      BMC Bioinformatics

      Volume: 19 Issue: S19 Pages: 526-526

    • DOI

      10.1186/s12859-018-2523-5

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K00404, KAKENHI-PLANNED-17H06410
  • [Journal Article] Machine-Learning-Guided Mutagenesis for Directed Evolution of Fluorescent Proteins2018

    • Author(s)
      Saito Yutaka、Oikawa Misaki、Nakazawa Hikaru、Niide Teppei、Kameda Tomoshi、Tsuda Koji、Umetsu Mitsuo
    • Journal Title

      ACS Synthetic Biology

      Volume: 7 Issue: 9 Pages: 2014-2022

    • DOI

      10.1021/acssynbio.8b00155

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K04842, KAKENHI-PLANNED-17H06410, KAKENHI-PROJECT-16H04570, KAKENHI-PROJECT-16K18296
  • [Journal Article] Ribosome Incorporation into Somatic Cells Promotes Lineage Transdifferentiation towards Multipotency2018

    • Author(s)
      Ito Naofumi、Katoh Kaoru、Kushige Hiroko、Saito Yutaka、Umemoto Terumasa、Matsuzaki Yu、Kiyonari Hiroshi、Kobayashi Daiki、Soga Minami、Era Takumi、Araki Norie、Furuta Yasuhide、Suda Toshio、Kida Yasuyuki、Ohta Kunimasa
    • Journal Title

      Scientific Reports

      Volume: 8 Issue: 1 Pages: 1634-1634

    • DOI

      10.1038/s41598-018-20057-1

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K07118, KAKENHI-PROJECT-16H04795, KAKENHI-PROJECT-26221309, KAKENHI-PROJECT-16K18553, KAKENHI-PROJECT-18K06264, KAKENHI-PLANNED-17H06410, KAKENHI-ORGANIZER-17H06413, KAKENHI-PROJECT-16H05440
  • [Journal Article] Brief Exposure to Small Molecules Allows Induction of Mouse Embryonic Fibroblasts into Neural Crest-like Precursors2017

    • Author(s)
      高山祐三、若林珠実、櫛笥博子、齋藤裕、渋谷陽一郎、芝田晋介、赤松和土、岡野栄之、木田泰之
    • Journal Title

      FEBS Letters

      Volume: 591 Issue: 4 Pages: 590-602

    • DOI

      10.1002/1873-3468.12572

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-26702015, KAKENHI-PROJECT-15K15649, KAKENHI-PROJECT-15K16089
  • [Journal Article] Epigenetic silencing of V(D)J recombination is a major determinant for selective differentiation of mucosal-associated invariant t cells from induced pluripotent stem cells.2017

    • Author(s)
      Yutaka Saito, Chie Sugimoto, Toutai Mituyama and Hiroshi Wakao
    • Journal Title

      PLoS One

      Volume: 12 Issue: 3 Pages: e0174699-e0174699

    • DOI

      10.1371/journal.pone.0174699

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-26430084, KAKENHI-PROJECT-15K16089
  • [Journal Article] Detection of differentially methylated regions from bisulfite-seq data by hidden Markov models incorporating genome-wide methylation level distributions2015

    • Author(s)
      Yutaka Saito, and Toutai Mituyama
    • Journal Title

      BMC Genomics

      Volume: 16(Suppl 12) Issue: S12

    • DOI

      10.1186/1471-2164-16-s12-s3

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-15K16089
  • [Presentation] Imaged-based profiling of epigenetic changes in VPA-treated HEK293 cells using machine learning and high-speed super-resolution microscopy2023

    • Author(s)
      Yicheng Wang, Nur Syatila Ab Ghani, Munmee Dutta, Shungo Adachi, Kaoru Katoh, Masakazu Namihira, Toutai Mitsuyama, Yutaka Saito
    • Organizer
      第32回 日本バイオイメージング学会学術集会
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] 適応度地形の代数学:自然進化と指向性進化の統合に向けて2023

    • Author(s)
      齋藤 裕
    • Organizer
      第46回 日本分子生物学会
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] ranslation velocity harmonization: an innovative approach towards mRNA design through the integration of ribosome profiling and deep learning2023

    • Author(s)
      Bian Bian, Jichen Zhang, Yutaka Saito
    • Organizer
      The 22nd International Conference on Bioinformatics (InCoB 2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] 生体分子設計のインフォマティクス2023

    • Author(s)
      齋藤 裕
    • Organizer
      CBI学会 2023年大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] ホモログ適応度地形のトランスロケーションによる変異効果予測の精度向上2023

    • Author(s)
      勝木 陸, 福永 秀蔵, 山口 秀輝, 齋藤 裕
    • Organizer
      日本バイオインフォマティクス学会2023年年会, 第12回 生命医薬情報学連合大会 (IIBMP 2023)
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Development of AI-driven digital twins for motion control learning in laboratory automation2023

    • Author(s)
      Yicheng Wang, Toutai Mitsuyama, Yutaka Saito
    • Organizer
      日本バイオインフォマティクス学会2023年年会, 第12回 生命医薬情報学連合大会 (IIBMP 2023)
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Protein sequence design based on large-scale language models and reinforcement learning optimization2023

    • Author(s)
      Dingnan Jin, Yutaka Saito
    • Organizer
      日本バイオインフォマティクス学会2023年年会, 第12回 生命医薬情報学連合大会 (IIBMP 2023)
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Data efficient protein function improvement by machine learning with MD simulation and replica exchange Monte Carlo method2023

    • Author(s)
      Teppei Deguchi, Shinji Iida, Yutaka Saito
    • Organizer
      日本バイオインフォマティクス学会2023年年会, 第12回 生命医薬情報学連合大会 (IIBMP 2023)
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Imaged-based profiling of epigenetic changes in VPA-treated HEK293 cells using machine learning and high-speed super-resolution microscopy2023

    • Author(s)
      Nur Syatila Ab Ghani, Yicheng Wang, Munmee Dutta, Shungo Adachi, Kaoru Katoh, Masakazu Namihira, Toutai Mitsuyama, Yutaka Saito
    • Organizer
      日本バイオインフォマティクス学会2023年年会, 第12回 生命医薬情報学連合大会 (IIBMP 2023)
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] 抗原情報を考慮した機械学習によるタンパク質結合力予測の精度向上2023

    • Author(s)
      来見田 遥一, 齋藤 裕
    • Organizer
      第2回 日本抗体学会学術大会
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] タンパク質工学における機械学習の利用2023

    • Author(s)
      齋藤 裕
    • Organizer
      大阪大学インタラクティブ物質科学・カデットプログラム 第9回 インタラクティブ交流会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Protein-compound interaction prediction using microbial chemical communication network2023

    • Author(s)
      Hongyi Shen, Yutaka Saito
    • Organizer
      情報処理学会 第76回 BIO合同研究発表会
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Enhancing PacBio DNA 5-methylcytosine detection by semi-supervised learning2023

    • Author(s)
      Jichen Zhang, Yutaka Saito
    • Organizer
      日本バイオインフォマティクス学会2023年年会, 第12回 生命医薬情報学連合大会 (IIBMP 2023)
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] MDシミュレーション・レプリカ交換モンテカルロ法と機械学習によるデータ効率的なタンパク質機能改良2023

    • Author(s)
      出口 鉄平, 飯田 慎仁, 齋藤 裕
    • Organizer
      第61回 日本生物物理学会年会
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Enhancing mRNA sequence design in diverse organisms by deep learning and genetic algorithm for translation velocity harmonization2023

    • Author(s)
      Bian Bian, Jichen Zhang, Yutaka Saito
    • Organizer
      日本バイオインフォマティクス学会2023年年会, 第12回 生命医薬情報学連合大会 (IIBMP 2023)
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] 機械学習でタンパク質の変異効果を予測する2023

    • Author(s)
      齋藤 裕
    • Organizer
      「集え、他分野研究者!」感染症キャンプ in 宮崎
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] 機械学習によるタンパク質の機能予測と設計2023

    • Author(s)
      齋藤 裕
    • Organizer
      公益社団法人新化学技術推進協会ライフサイエンス技術部会反応分科会 技術セミナー「タンパク質の予測・設計を学ぶ」
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] タンパク質の多要素の最適化にむけたマルチタスク学習手法の開発2023

    • Author(s)
      鬼塚 智大, 齋藤 裕
    • Organizer
      日本バイオインフォマティクス学会2023年年会, 第12回 生命医薬情報学連合大会 (IIBMP 2023)
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] 機械学習によるタンパク質の機能予測と設計2023

    • Author(s)
      齋藤 裕
    • Organizer
      公益社団法人新化学技術推進協会ライフサイエンス技術部会反応分科会 技術セミナー「タンパク質の予測・設計を学ぶ」. 新化学技術推進協会(JACI)
    • Invited
    • Data Source
      KAKENHI-PLANNED-23H04885
  • [Presentation] 生体分子設計のインフォマティクス2023

    • Author(s)
      齋藤 裕
    • Organizer
      CBI学会 2023年大会
    • Invited
    • Data Source
      KAKENHI-PLANNED-23H04885
  • [Presentation] 機械学習を組み入れたファージライブラリー法の開発:パニング情報からのリード分子の成熟化操作.2022

    • Author(s)
      河田 早矢, 来見田 遥一, 伊藤 智之, グエン トゥイ ズオン, 中澤 光, 西 羽美, 齋藤 裕, 亀田 倫史, 津田 宏治, 梅津 光央.
    • Organizer
      第1回 日本抗体学会学術大会.
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Multiple sequence alignmentにより制約されたデータ効率的なタンパク質配列設計.2022

    • Author(s)
      山口 秀輝, 齋藤 裕.
    • Organizer
      日本バイオインフォマティクス学会2022年年会, 第11回 生命医薬情報学連合大会 (IIBMP 2022).
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Large-scale association analysis of translation velocity and protein features among diverse organisms: towards mRNA design optimizing co-translational folding.2022

    • Author(s)
      Bian Bian, Toshitaka Kumagai, Yutaka Saito.
    • Organizer
      日本バイオインフォマティクス学会2022年年会, 第11回 生命医薬情報学連合大会 (IIBMP 2022).
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Multiple sequence alignmentにより制約されたデータ効率的なタンパク質配列設計2022

    • Author(s)
      山口 秀輝, 齋藤 裕
    • Organizer
      日本バイオインフォマティクス学会2022年年会
    • Data Source
      KAKENHI-PROJECT-22H00553
  • [Presentation] 生物―化合物ネットワーク情報を利用したタンパク質化合物相互作用予測手法の精度向上.2022

    • Author(s)
      Hongyi Shen, Yutaka Saito.
    • Organizer
      日本バイオインフォマティクス学会2022年年会, 第11回 生命医薬情報学連合大会 (IIBMP 2022).
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] BERTを用いたヌクレオソーム親和性の予測.2022

    • Author(s)
      Seiji Toki, Yutaka Saito.
    • Organizer
      日本バイオインフォマティクス学会2022年年会, 第11回 生命医薬情報学連合大会 (IIBMP 2022).
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] 大規模配列解析と機械学習を連携させたファージ提示法:抗体断片の親和性成熟を目指して.2022

    • Author(s)
      河田 早矢, 来見田 遥一, 伊藤 智之, グエン トゥイ ズオン, 中澤 光, 西 羽美, 齋藤 裕, 亀田 倫史, 津田 宏治, 梅津 光央.
    • Organizer
      生物工学会北日本支部シンポジウム 2022.
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Machine-learning application for in vitro selection of antibody fragments from a phage display library.2022

    • Author(s)
      Sakiya Kawada, Yoichi Kurumida, Tomoyuki Ito, Thuy Duong Nguyen, Hikaru Nakazawa, Hafumi Nishi, Yutaka Saito, Tomoshi Kameda, Koji Tsuda, Mitsuo Umetsu.
    • Organizer
      第60回 日本生物物理学会年会.
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] タンパク質の異種発現のためのmRNA配列設計.2022

    • Author(s)
      齋藤 裕.
    • Organizer
      RNAインフォマティクス道場2022.
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Image-based epigenetic profiling combining machine learning and high-speed super-resolution microscopy.2022

    • Author(s)
      Yicheng Wang, Shungo Adachi, Kaoru Katoh, Masakazu Namihira, Toutai Mitsuyama, Yutaka Saito.
    • Organizer
      第31回 日本バイオイメージング学会学術集会.
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Machine-learning-guided library design cycle for directed evolution of enzymes: the effects of training data composition on sequence space exploration.2022

    • Author(s)
      Yutaka Saito, Misaki Oikawa, Takumi Sato, Hikaru Nakazawa, Tomoyuki Ito, Tomoshi Kameda, Koji Tsuda, Mitsuo Umetsu.
    • Organizer
      日本バイオインフォマティクス学会2022年年会, 第11回 生命医薬情報学連合大会 (IIBMP 2022).
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] 機械学習が導くタンパク質の指向性進化.2022

    • Author(s)
      齋藤 裕.
    • Organizer
      令和4年度 日本環境変異原ゲノム学会 公開シンポジウム「環境変異原ゲノム研究を革新する解析技術~基礎から最先端まで~」
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Image-based epigenetic profiling combining machine learning and high-speed super-resolution microscopy.2022

    • Author(s)
      Yicheng Wang, Shungo Adachi, Kaoru Katoh, Masakazu Namihira, Toutai Mitsuyama, Yutaka Saito.
    • Organizer
      日本バイオインフォマティクス学会2022年年会, 第11回 生命医薬情報学連合大会 (IIBMP 2022).
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Large-scale association analysis of translation velocity and protein features among diverse organisms: towards mRNA design optimizing co-translational folding.2022

    • Author(s)
      Bian Bian, Toshitaka Kumagai, Yutaka Saito.
    • Organizer
      RNAインフォマティクス道場2022.
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Increasing the training dataset for improving 6mA fraction estimation.2022

    • Author(s)
      Jichen Zhang, Yutaka Saito.
    • Organizer
      The 20th Asia Pacific Bioinformatics Conference (APBC 2022).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Machine-learning-assisted molecular evolution with a phage display library of antibody mimetic.2022

    • Author(s)
      Tomoyuki Ito, Thuy Duong Nguyen, Yutaka Saito, Yoichi Kurumida, Hikaru Nakazawa, Sakiya Kawada, Hafumi Nishi, Koji Tsuda, Tomoshi Kameda, Mitsuo Umetsu.
    • Organizer
      第60回 日本生物物理学会年会.
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] 機械学習を指針とした進化分子工学による抗体断片の結合機能創出.2022

    • Author(s)
      河田 早矢, 来見田 遥一, 伊藤 智之, Thuy Duong Nguyen, 中澤 光, 西 羽美, 齋藤 裕, 亀田 倫史, 津田 宏治, 梅津 光央.
    • Organizer
      化学工学会 第88年会.
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] 機械学習を組み入れたファージライブラリー法の開発:低指向な進化情報からのプロテインマイニング.2022

    • Author(s)
      伊藤 智之, Thuy Duong Nguyen, 齋藤 裕, 来見田 遥一, 中澤 光, 河田 早矢, 西 羽美, 津田 宏治, 亀田 倫史, 梅津 光央.
    • Organizer
      第1回 日本抗体学会学術大会.
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] 機械学習を取り入れた進化分子工学による非抗体タンパク質の分子認識機能化.2022

    • Author(s)
      伊藤 智之, Thuy Duong Nguyen, 齋藤 裕, 来見田 遥一, 中澤 光, 河田 早矢, 西 羽美, 津田 宏治, 亀田 倫史, 梅津 光央.
    • Organizer
      化学工学会 第88年会.
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] Machine-learning-assisted phage display applications: functional variant mining from next generation sequence library.2022

    • Author(s)
      Tomoyuki Ito, Thuy Duong Nguyen, Yutaka Saito, Yoichi Kurumida, Hikaru Nakazawa, Sakiya Kawada, Hafumi Nishi, Koji Tsuda, Tomoshi Kameda, Mitsuo Umetsu.
    • Organizer
      PEGS Europe 2022.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K24946
  • [Presentation] EvoOpt: an MSA-guided, fully unsupervised sequence optimization pipeline for protein design. Machine Learning in Structural Biology Workshop2022

    • Author(s)
      Hideki Yamaguchi, Yutaka Saito
    • Organizer
      The 36th Conference on Neural Information Processing Systems
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22H00553
  • [Presentation] Discovery of functional proteins by next-generation sequencing analysis in directed evolution.2021

    • Author(s)
      Sakiya Kawada, Tomoyuki Ito, Hafumi Nishi, Yoichi Kurumida, Thuy Duong Nguyen, Hikaru Nakazawa, Yutaka Saito, Tomoshi Kameda, Koji Tsuda, Mitsuo Umetsu.
    • Organizer
      The 26th Symposium of Young Asian Biological Engineers’ Community (YABEC 2021).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Machine learning approach for discrimination of genotypes based on bright-field cellular images.2021

    • Author(s)
      Godai Suzuki, Yutaka Saito, Motoaki Seki, Daniel Evans-Yamamoto, Mikiko Negishi, Kentaro Kakoi, Hiroki Kawai, Christian R Landry, Nozomu Yachie, Toutai Mitsuyama.
    • Organizer
      第44回 日本分子生物学会年会 (MBSJ 2021).
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Prediction of peptide aggregation tendency by combination MD simulation and machine learning.2021

    • Author(s)
      Yoichi Kurumida, Yutaka Saito, Yusuke Nakamichi, Keisuke Ikeda, Tomoshi Kameda.
    • Organizer
      第21回 日本蛋白質科学会年会 シンポジウム「タンパク質の液液相分離―計測、制御、応用―」.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Accurate prediction of variant effects by efficient incorporation of evolutionary information into Transformer-based deep learning.2021

    • Author(s)
      Hideki Yamaguchi, Yutaka Saito.
    • Organizer
      第21回 日本蛋白質科学会年会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Evotuning protocols for Transformer-based variant effect prediction on multi-domain proteins.2021

    • Author(s)
      Hideki Yamaguchi, Yutaka Saito.
    • Organizer
      日本バイオインフォマティクス学会2021年年会, 第10回 生命医薬情報学連合大会 (IIBMP 2021).
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 機械学習を用いたタンパク質改良法の高速化.2021

    • Author(s)
      来見田 遥一, 齋藤 裕, 亀田 倫史.
    • Organizer
      第21回 日本蛋白質科学会年会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Application of next-generation sequencing analysis in the molecular evolution of antibody mimics.2021

    • Author(s)
      Tomoyuki Ito, Hafumi Nishi, Thuy Duong Nguyen, Yutaka Saito, Tomoshi Kameda, Hikaru Nakazawa, Koji Tsuda, Mitsuo Umetsu.
    • Organizer
      第21回 日本蛋白質科学会年会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 抗体医薬品の多要素の最適化にむけたマルチタスク学習手法の開発.2021

    • Author(s)
      鬼塚 智大, 山口 秀輝, 齋藤 裕.
    • Organizer
      日本バイオインフォマティクス学会2021年年会, 第10回 生命医薬情報学連合大会 (IIBMP 2021).
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Application of next-generation sequencing analysis in the directed evolution for creating antibody mimic2021

    • Author(s)
      Tomoyuki Ito, Hafumi Nishi, Thuy Duong Nguyen, Yutaka Saito, Tomoshi Kameda, Hikaru Nakazawa, Koji Tsuda, Mitsuo Umetsu
    • Organizer
      65th Biophysical Society Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00315
  • [Presentation] Evotuning protocols for Transformer-based variant effect prediction on multi-domain proteins.2021

    • Author(s)
      Hideki Yamaguchi, Yutaka Saito.
    • Organizer
      The 29th International Conference on Intelligent Systems for Molecular Biology and The 20th European Conference on Computational Biology (ISMB / ECCB 2021).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Application of next-generation sequencing analysis in the directed evolution for creating antibody mimic.2021

    • Author(s)
      Tomoyuki Ito, Hafumi Nishi, Thuy Duong Nguyen, Yutaka Saito, Tomoshi Kameda, Hikaru Nakazawa, Koji Tsuda, Mitsuo Umetsu.
    • Organizer
      The 65th Annual Meeting of the Biophysical Society (BPS 2021).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Deep sequencing analysis in the directed evolution of antibody mimics.2021

    • Author(s)
      Tomoyuki Ito, Hafumi Nishi, Thuy Duong Nguyen, Yutaka Saito, Tomoshi Kameda, Hikaru Nakazawa, Koji Tsuda, Mitsuo Umetsu.
    • Organizer
      The International Chemical Congress of Pacific Basin Societies 2021 (Pacifichem 2021).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] A novel computational method to assess mechanical stability of proteins with high accuracy.2021

    • Author(s)
      Thuy Duong Nguyen, Yutaka Saito, Tomoshi Kameda.
    • Organizer
      第21回 日本蛋白質科学会年会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Deep sequencing analysis in the directed evolution of antibodies.2021

    • Author(s)
      Sakiya Kawada, Yoichi Kurumida, Tomoyuki Ito, Hikaru Nakazawa, Hafumi Nishi, Yutaka Saito, Tomoshi Kameda, Koji Tsuda, Mitsuo Umetsu.
    • Organizer
      The International Chemical Congress of Pacific Basin Societies 2021 (Pacifichem 2021).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 進化分子工学における大規模遺伝子配列解析を利用した機能タンパク質の探索.2021

    • Author(s)
      河田 早矢, 伊藤 智之, 西 羽美, 来見田 遥一, Nguyen Thuy Duong, 中澤 光, 齋藤 裕, 亀田 倫史, 津田 宏治, 梅津 光央.
    • Organizer
      日本化学会 第101春季年会2021.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 機械学習支援なタンパク質進化における学習データが影響を与える指向性.2021

    • Author(s)
      伊藤 智之, 齋藤 裕, 及川 未早来, 亀田 倫史, 中澤 光, 津田 宏治, 梅津 光央.
    • Organizer
      日本生物工学会北日本支部 2021年度第1回若手シンポジウム.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Evaluating self-assembly propensity of tetra-peptide using MD and machine learning.2021

    • Author(s)
      Yoichi Kurumida, Keisuke Ikeda, Yusuke Nakamichi, Atsushi Hirano, Kaito Kobayashi, Yutaka Saito, Tomoshi Kameda.
    • Organizer
      Evaluating self-assembly propensity of tetra-peptide using MD and machine learning.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Directed evolution of non-immunoglobulin scaffold proteins against a cancer marker.2021

    • Author(s)
      Thuy Duong Nguyen, Tomoyuki Ito, Hafumi Nishi, Hikaru Nakazawa, Yutaka Saito, Koji Tsuda, Mitsuo Umetsu, Tomoshi Kameda.
    • Organizer
      PEGS Boston Virtual 2021.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 機械学習によって明視野細胞画像から遺伝子型の違いを判別できるか.2021

    • Author(s)
      鈴木 吾大, 齋藤 裕, 光山統泰.
    • Organizer
      第30回 日本バイオイメージング学会学術集会 シンポジウム「様々な手法で見る生体試料」.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 配列空間における適応度地形のトランスロケーションを用いた変異効果予測の精度向上.2021

    • Author(s)
      福永 秀蔵, 山口 秀輝, 齋藤 裕.
    • Organizer
      日本バイオインフォマティクス学会2021年年会, 第10回 生命医薬情報学連合大会 (IIBMP 2021).
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Protein language modelsによるzero-shot機能予測および配列探索.2021

    • Author(s)
      山口 秀輝, 齋藤 裕.
    • Organizer
      日本バイオインフォマティクス学会2021年年会, 第10回 生命医薬情報学連合大会 (IIBMP 2021).
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 生体分子設計のインフォマティクス.2021

    • Author(s)
      齋藤 裕.
    • Organizer
      日本バイオインフォマティクス学会2021年年会, 第10回 生命医薬情報学連合大会 (IIBMP 2021).
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Developing a sequence design method for increasing the expression of recombinant proteins in actinobacteria.2020

    • Author(s)
      Naoyuki Tajima, Wataru Kitagawa, Yutaka Saito, Yoshiyuki Nishimiya, Koichi Tamano, Yoshiaki Yasutake, Tomohiro Tamura, Tomoshi Kameda.
    • Organizer
      The 19th Annual PepTalk.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 機械学習支援によるタンパク質の効率的進化工学.2020

    • Author(s)
      中澤 光, 及川 未早来, 齋藤 裕, 亀田 倫史, 津田 宏治, 梅津 光央.
    • Organizer
      日本農芸化学会 2020年度大会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Can machine learning guide directed evolution of functional proteins?2020

    • Author(s)
      Yutaka Saito, Misaki Oikawa, Hikaru Nakazawa, Takumi Sato, Tomoshi Kameda, Koji Tsuda, and Mitsuo Umetsu.
    • Organizer
      The 64th Annual Meeting of the Biophysical Society (BPS 2020).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Evaluating self-assembly propensity of tetra-peptide using MD and machine learning.2020

    • Author(s)
      Yoichi Kurumida, Keisuke Ikeda, Yusuke Nakamichi, Kaito Kobayashi, Yutaka Saito, Tomoshi Kameda.
    • Organizer
      第20回 日本蛋白質科学会年会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Predicting antibody affinity changes upon mutations by combining multiple predictors.2020

    • Author(s)
      Yoichi Kurumida, Yutaka Saito, Tomoshi Kameda.
    • Organizer
      The 19th Annual PepTalk.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Evaluation of the protein stability by molecular dynamics simulation.2020

    • Author(s)
      Kaito Kobayashi, Tomoshi Kameda, Shin Irumagawa, Ryoichi Arai, Yutaka Saito, Takeshi Miyata, Mitsuo Umetsu.
    • Organizer
      第20回 日本蛋白質科学会年会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Evaluating self-assembly propensity of tetra-peptide using MD and machine learning.2020

    • Author(s)
      Yoichi Kurumida, Keisuke Ikeda, Yusuke Nakamichi, Kaito Kobayashi, Yutaka Saito, Tomoshi Kameda.
    • Organizer
      The 64th Annual Meeting of the Biophysical Society (BPS 2020).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 深層表現学習によるタンパク質の指向性進化と自然進化の関連解析.2020

    • Author(s)
      Shuzo Fukunaga, Hideki Yamaguchi, Yutaka Saito.
    • Organizer
      日本バイオインフォマティクス学会2020年年会, 第9回 生命医薬情報学連合大会 (IIBMP 2020).
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Evaluation of the protein stability by molecular dynamics simulation.2020

    • Author(s)
      Tomoshi Kameda, Kaito Kobayashi, Shin Irumagawa, Ryoichi Arai, Yutaka Saito, Takeshi Miyata, Mitsuo Umetsu.
    • Organizer
      The 64th Annual Meeting of the Biophysical Society (BPS 2020).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] CodonAdjust: a software for in silico design of a mutagenesis library with specific amino acid profiles.2020

    • Author(s)
      Nguyen Thuy Duong, Yutaka Saito, Tomoshi Kameda.
    • Organizer
      Antibody Engineering & Therapeutics Europe 2020.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Evaluation of the protein thermal stability by molecular dynamics simulation.2020

    • Author(s)
      Kaito Kobayashi, Tomoshi Kameda, Shin Irumagawa, Yutaka Saito, Takeshi Miyata, Mitsuo Umetsu.
    • Organizer
      The 19th Annual PepTalk.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] CodonAdjust: a software for in silico design of a mutagenesis library with specific amino acid profiles.2020

    • Author(s)
      Nguyen Thuy Duong, Yutaka Saito, Tomoshi Kameda.
    • Organizer
      PEGS Boston Virtual 2020.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 深層表現学習によるタンパク質の指向性進化と自然進化の関連解析.2020

    • Author(s)
      Shuzo Fukunaga, Hideki Yamaguchi, Yutaka Saito.
    • Organizer
      生命情報科学若手の会 第12回研究会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] CodonAdjust: a software for in silico design of a mutagenesis library with specific amino acid profiles.2020

    • Author(s)
      Nguyen Thuy Duong, Yutaka Saito, Tomoshi Kameda.
    • Organizer
      第20回 日本蛋白質科学会年会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Evolutionary training protocols for deep representation learning of multi-domain proteins.2020

    • Author(s)
      Hideki Yamaguchi, Yutaka Saito.
    • Organizer
      日本バイオインフォマティクス学会2020年年会, 第9回 生命医薬情報学連合大会 (IIBMP 2020).
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Developing a codon optimization method for improved expression of recombinant proteins in actinobacteria.2020

    • Author(s)
      Yutaka Saito, Wataru Kitagawa, Toshitaka Kumagai, Naoyuki Tajima, Yoshiyuki Nishimiya, Koichi Tamano, Yoshiaki Yasutake, Tomohiro Tamura, Tomoshi Kameda.
    • Organizer
      日本バイオインフォマティクス学会2020年年会, 第9回 生命医薬情報学連合大会 (IIBMP 2020).
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] AIが導くタンパク質の進化:指向性が強い変異体は必要か?2019

    • Author(s)
      及川 未早来, 齋藤 裕, 亀田 倫史, 中澤 光, 二井手 哲平, 津田 宏治, 梅津 光央.
    • Organizer
      第19回日本蛋白質科学会年会 第71回日本細胞生物学会大会 合同年次大会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Evaluating self-assembly propensity of tetra-peptide using MD and machine learning.2019

    • Author(s)
      Yoichi Kurumida, Keisuke Ikeda, Yusuke Nakamichi, Kaito Kobayashi, Yutaka Saito, Tomoshi Kameda.
    • Organizer
      第4回LLPS研究会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 機械学習を用いた抗体変異体の結合力変化の予測.2019

    • Author(s)
      来見田 遥一, 齋藤 裕, 亀田 倫史.
    • Organizer
      第19回日本蛋白質科学会年会 第71回日本細胞生物学会大会 合同年次大会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 機械学習と実験の融合によるタンパク質の高機能化.2019

    • Author(s)
      齋藤 裕, 及川 未早来, 中澤 光, 亀田 倫史, 津田 宏治, 梅津 光央.
    • Organizer
      第71回 日本生物工学会大会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 放線菌における遺伝子配列改変による発現調節の解析.2019

    • Author(s)
      田島 直幸, 北川 航, 齋藤 裕, 西宮 佳志, 玉野 孝一, 安武 義晃, 田村 具博, 亀田 倫史.
    • Organizer
      第71回 日本生物工学会大会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Machine-learning application for directed evolution of functional proteins2019

    • Author(s)
      Yutaka Saito, Misaki Oikawa, Hikaru Nakazawa, Takumi Sato, Tomoshi Kameda, Koji Tsuda, and Mitsuo Umetsu.
    • Organizer
      The 11th Protein & Antibody Engineering Summit (PEGS Europe 2019).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] リボソームプロファイリングデータから見る複数生物の内在性タンパク質の翻訳効率と配列特徴量の関係.2019

    • Author(s)
      田島 直幸, 熊谷 俊高, 齋藤 裕, 亀田 倫史.
    • Organizer
      第13回 日本ゲノム微生物学会年会.
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Presentation] DNA-methyltransferase 1 participates in methylation of neuronal enhancer in post-mitotic neuron of mammalian brain.2019

    • Author(s)
      Masakazu Namihira, Ayaka Kimura, Yutaka Saito, Taito Matsuda, Takuya Imamura, Hirofumi Noguchi, Maky Otsuka I., Katsuhide Igarashi, Kinichi Nakashima
    • Organizer
      Neuroscience 2019, Society for Neuroscience, Chicag, IL
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K06502
  • [Presentation] Machine-learning-guided mutagenesis for directed evolution of fluorescent proteins.2019

    • Author(s)
      Tomoshi Kameda, Yutaka Saito, Misaki Oikawa, Hikaru Nakazawa, Teppei Niide, Koji Tsuda, Mitsuo Umetsu.
    • Organizer
      The 33rd Annual Symposium of the Protein Society.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] CodonAdjust: a software to design codon nucleotide compositions for generating mutagenesis libraries.2019

    • Author(s)
      Nguyen Thuy Duong, Yutaka Saito, Tomoshi Kameda.
    • Organizer
      The 20th International Conference on Systems Biology (ICSB 2019).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 神経細胞におけるDNMT1によるエンハンサー領域のメチル化制御2019

    • Author(s)
      波平昌一、木村文香、齋藤裕、松田泰斗、今村拓也、大塚まき、五十嵐勝秀、三浦史仁、伊藤隆司、堅田明子、中島欽一
    • Organizer
      第13回エピジェネティクス研究会年会
    • Data Source
      KAKENHI-PROJECT-19K06502
  • [Presentation] CodonAdjust: a software for in silico design of a mutagenesis library with specific amino acid profiles.2019

    • Author(s)
      Nguyen Thuy Duong, Yutaka Saito, Tomoshi Kameda.
    • Organizer
      The 11th Protein & Antibody Engineering Summit (PEGS Europe 2019).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Comparative analysis of the relationship between translational efficiency and sequence features of endogenous proteins of multiple organisms using ribosomal profiling data.2019

    • Author(s)
      田島 直幸, 熊谷 俊高, 齋藤 裕, 亀田 倫史.
    • Organizer
      日本進化学会 第21回大会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 放線菌における遺伝子配列改変による発現調節の解析.2019

    • Author(s)
      田島 直幸, 北川 航, 齋藤 裕, 西宮 佳志, 玉野 孝一, 安武 義晃, 田村 具博, 亀田 倫史.
    • Organizer
      第34回 日本放線菌学会大会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] CodonAdjust: a software to design codon nucleotide compositions for generating mutagenesis libraries.2019

    • Author(s)
      Nguyen Thuy Duong, 齋藤 裕, 亀田 倫史.
    • Organizer
      第42回 日本分子生物学会年会 (MBSJ 2019).
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 人工知能と実験の融合による生物工学研究2019

    • Author(s)
      齋藤 裕
    • Organizer
      公益社団法人日本技術士会神奈川県支部 第80回CPD講座
    • Invited
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Presentation] 機械学習支援によるタンパク質進化工学検証:GFPからYFPへ.2019

    • Author(s)
      及川 未早来, 齋藤 裕, 亀田 倫史, 中澤 光, 二井手 哲平, 津田 宏治, 梅津 光央.
    • Organizer
      化学工学会 第84年会.
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Presentation] 複数の予測器の組み合わせによる抗体変異体の結合力変化の予測.2019

    • Author(s)
      来見田 遥一, 齋藤 裕, 亀田 倫史.
    • Organizer
      日本バイオインフォマティクス学会2019年年会, 第8回 生命医薬情報学連合大会 (IIBMP 2019).
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Machine-learning-guided mutagenesis for directed evolution of fluorescent proteins.2019

    • Author(s)
      Yutaka Saito, Misaki Oikawa, Hikaru Nakazawa, Teppei Niide, Tomoshi Kameda, Koji Tsuda, Mitsuo Umetsu.
    • Organizer
      日本バイオインフォマティクス学会2019年年会, 第8回 生命医薬情報学連合大会 (IIBMP 2019).
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Predicting antibody affinity changes upon mutations with machine learning.2019

    • Author(s)
      Yoichi Kurumida, Yutaka Saito, Tomoshi Kameda.
    • Organizer
      Antibody Engineering & Therapeutics.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] リボソームプロファイリングを用いた複数生物の内在性タンパク質の翻訳効率に関係する配列特徴量の解析.2019

    • Author(s)
      田島 直幸, 熊谷 俊高, 齋藤 裕, 亀田 倫史.
    • Organizer
      第19回日本蛋白質科学会年会 第71回日本細胞生物学会大会 合同年次大会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Machine-learning-guided mutagenesis platform for evolution: from GFP to YFP.2019

    • Author(s)
      Yutaka Saito, Misaki Oikawa, Hikaru Nakazawa, Teppei Niide, Tomoshi Kameda, Koji Tsuda, Mitsuo Umetsu.
    • Organizer
      The 18th Asian Pacific Confederation of Chemical Engineering Congress (APCChE 2019).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] 人工知能と実験の融合による生物工学研究.2019

    • Author(s)
      齋藤 裕.
    • Organizer
      公益社団法人日本技術士会神奈川県支部 第80回CPD講座「ここまで進んだ医療・生命科学へのAIの活用」
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Rhodococcus erythropolisを用いた遺伝子配列改変によるタンパク質発現調節法の開発.2019

    • Author(s)
      田島 直幸, 北川 航, 齋藤 裕, 西宮 佳志, 玉野 孝一, 安武 義晃, 田村 具博, 亀田 倫史.
    • Organizer
      日本農芸化学会 2019年度大会.
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Presentation] Evaluating aggregation propensity of tetra-peptide using MD and machine learning.2019

    • Author(s)
      来見田 遥一, 齋藤 裕, 亀田 倫史.
    • Organizer
      第57回 日本生物物理学会年会.
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Machine-Learning-Guided Mutagenesis for Directed Evolution of Recombinant Proteins.2019

    • Author(s)
      Yutaka Saito, Misaki Oikawa, Hikaru Nakazawa, Teppei Niide, Tomoshi Kameda, Koji Tsuda, Mitsuo Umetsu.
    • Organizer
      The American Institute of Chemical Engineers Annual Meeting 2019 (AIChE 2019).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] CodonAdjustment: an algorithm to optimize codon nucleotide compositions for mutagenesis library by using non-linear optimization.2019

    • Author(s)
      Nguyen Thuy Duong, 齋藤 裕, 亀田 倫史.
    • Organizer
      日本バイオインフォマティクス学会2019年年会, 第8回 生命医薬情報学連合大会 (IIBMP 2019).
    • Data Source
      KAKENHI-PROJECT-19K20409
  • [Presentation] Machine-learning-guided mutagenesis for directed evolution of fluorescent proteins.2018

    • Author(s)
      Yutaka Saito, Misaki Oikawa, Hikaru Nakazawa, Teppei Niide, Tomoshi Kameda, Koji Tsuda, Mitsuo Umetsu.
    • Organizer
      The 29th International Conference on Genome Informatics (GIW 2018).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Presentation] 放線菌ロドコッカス属における遺伝子配列改変による発現調節の解析.2018

    • Author(s)
      Naoyuki Tajima, Wataru Kitagawa, Yutaka Saito, Yoshiyuki Nishimiya, Kouichi Tamano, Yoshiaki Yasutake, Tomohiro Tamura, Tomoshi Kameda.
    • Organizer
      第7回 生命医薬情報学連合大会 (IIBMP 2018).
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Presentation] Machine-learning-guided mutagenesis platform for desired evolution: in the case of fluorescent protein.2018

    • Author(s)
      Misaki Oikawa, Yutaka Saito, Tomoshi Kameda, Hikaru Nakazawa, Teppei Niide, Koji Tsuda, Mitsuo Umetsu.
    • Organizer
      The 10th Protein & Antibody Engineering Summit (PEGS Europe 2018).
    • Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Presentation] AIはタンパク質進化を導くか?:機械学習支援によるGFPのYFP化検証.2018

    • Author(s)
      及川 未早来, 齋藤 裕, 亀田 倫史, 中澤 光, 二井手 哲平, 津田 宏治, 梅津 光央.
    • Organizer
      第70回 日本生物工学会大会.
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Presentation] 人工知能を用いたタンパク質高機能化.2018

    • Author(s)
      亀田 倫史, 齋藤 裕, 津田 宏治, 梅津 光央.
    • Organizer
      第70回 日本生物工学会大会.
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Presentation] Convolutional neural network based on SMILES representation of compounds for detecting chemical motif2018

    • Author(s)
      Maya Hirohara, Yutaka Saito, Yuki Koda, Kengo Sato, Yasubumi Sakakibara
    • Organizer
      The 29th International Conference on Genome Informatics (GIW 2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Presentation] 放線菌ロドコッカス属における遺伝子配列改変による発現調節手法の開発.2018

    • Author(s)
      田島 直幸, 北川 航, 齋藤 裕, 西宮 佳志, 玉野 孝一, 安武 義晃, 田村 具博, 亀田 倫史.
    • Organizer
      第41回 日本分子生物学会年会 (MBSJ 2018).
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Presentation] Cosearge:HiCデータから複数のTADにまたがる遺伝子共局在を検出するアルゴリズム2017

    • Author(s)
      齋藤裕, 光山 統泰
    • Organizer
      2017年度 生命科学系学会合同年次大会
    • Data Source
      KAKENHI-PLANNED-17H06410
  • [Presentation] iPS細胞からの自然免疫型T細胞分化誘導の分子機序の統合的解析2016

    • Author(s)
      若尾 宏, 杉本 智恵, 光山 統泰, 齋藤 裕
    • Organizer
      第39回 日本分子生物学会年会 (MBSJ 2016)
    • Place of Presentation
      パシフィコ横浜(神奈川県)
    • Year and Date
      2016-11-30
    • Data Source
      KAKENHI-PROJECT-15K16089
  • [Presentation] ワークフローの紹介 (BS-seq)2016

    • Author(s)
      齋藤 裕
    • Organizer
      Galaxy Workshop Tokyo 2016
    • Place of Presentation
      東京大学先端科学技術研究センター(東京都)
    • Data Source
      KAKENHI-PROJECT-15K16089
  • [Presentation] 薬剤によるマウス胎児線維芽細胞(MEFs)からの神経堤細胞の分化誘導法の開発2016

    • Author(s)
      若林 玲実, 高山 祐三, 櫛笥 博子, 渋谷 陽一郎, 齋藤 裕, 赤松 和土, 芝田 晋介, 岡野 栄之, 木田 泰之
    • Organizer
      第39回 日本分子生物学会年会 (MBSJ 2016)
    • Place of Presentation
      パシフィコ横浜(神奈川県)
    • Year and Date
      2016-11-30
    • Data Source
      KAKENHI-PROJECT-15K16089
  • [Presentation] Detection of differentially methylated regions from bisulfite-seq data by hidden Markov models incorporating genome-wide methylation level distributions2015

    • Author(s)
      Yutaka Saito, and Toutai Mituyama
    • Organizer
      The 26th International Conference on Genome Informatics (GIW/InCoB 2015)
    • Place of Presentation
      MIRAIKAN (Tokyo, Japan)
    • Year and Date
      2015-09-09
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K16089
  • [Presentation] ゲノム3次元構造データに基づく共局在遺伝子の網羅的探索2015

    • Author(s)
      齋藤 裕,光山 統泰
    • Organizer
      第38回 日本分子生物学会年会,第88回 日本生化学会大会,合同大会 (BMB 2015)
    • Place of Presentation
      神戸ポートアイランド(兵庫県)
    • Year and Date
      2015-12-01
    • Data Source
      KAKENHI-PROJECT-15K16089
  • [Presentation] ゲノム3次元構造データに基づく共局在遺伝子の網羅的探索2015

    • Author(s)
      齋藤 裕,光山 統泰
    • Organizer
      NGS現場の会 第四回研究会
    • Place of Presentation
      つくば国際会議場(茨城県)
    • Year and Date
      2015-07-01
    • Data Source
      KAKENHI-PROJECT-15K16089
  • [Presentation] ワークフローの紹介 (BS-seq)2015

    • Author(s)
      齋藤 裕
    • Organizer
      Galaxy Workshop Tokyo 2015
    • Place of Presentation
      東京大学先端科学技術研究センター(東京都)
    • Year and Date
      2015-04-28
    • Data Source
      KAKENHI-PROJECT-15K16089
  • 1.  Sakakibara Yasubumi (10287427)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 1 results
  • 2.  亀田 倫史 (40415774)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 1 results
  • 3.  Kamakura Masaki (60363876)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  Namihira Masakazu (60379534)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 5.  Umetsu Mitsuo (70333846)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 6.  佐藤 健吾 (20365472)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 7.  新木 和孝 (60514255)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  津田 宏治 (90357517)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 9.  伊藤 智之 (40987880)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 10.  中道 優介 (20751217)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  森田 英嗣 (70344653)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  来見田 遥一 (80976762)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 13.  小林 海渡 (31003957)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 14.  長田 裕之 (80160836)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 15.  TSUKANO Chihiro
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 16.  KUMAGAI Yutaro
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 17.  KOBAYASHI Daiki
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 18.  OSATO Naoki
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 19.  柳田 亮
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 20.  入江 一浩
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 21.  中澤 光
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 22.  高山 祐三
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 23.  杉本 智恵
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 24.  若尾 宏
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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